Agno
Build lightning-fast, multi-modal Reasoning Agents.
Listed in categories:
Artificial IntelligenceOpen SourceGitHub
Description
Agno is a lightweight library designed for building Reasoning Agents equipped with memory knowledge tools and native multimodal support. It allows users to create various types of agents, including MultiModal Agents, Teams of Agents, and Agentic Workflows, enabling them to perform complex tasks autonomously.
How to use Agno?
To get started with Agno, install the library using pip, create your first agent by importing the necessary modules, and define its behavior and tools. Follow the examples provided in the documentation for guidance on building various types of agents.
Core features of Agno:
1️⃣
Lightning Fast Agents that instantiate 10000x faster than LangGraph and use 50x less memory.
2️⃣
Model Agnostic, allowing the use of any model from any provider without lock-in.
3️⃣
Built-in support for Reasoning Agents using Reasoning Models and Tools.
4️⃣
Natively Multi Modal, supporting text, image, audio, and video.
5️⃣
Industry-leading multi-agent architecture with modes for routing, collaboration, and coordination.
Why could be used Agno?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Creating financial reports by reasoning through data. | ✅ | |
| # 2 | Building specialized agents for collaborative workflows. | ✅ | |
| # 3 | Developing agents that can autonomously execute tasks using various tools. | ✅ | |
Who developed Agno?
Agno is developed by a team of passionate engineers and AI enthusiasts dedicated to creating powerful tools for building intelligent agents. They focus on performance, usability, and community engagement, offering extensive documentation and support for users.